## Family: zero_inflated_poisson
## Links: mu = log; zi = logit
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_capita + ln_migrant_pop_perc + ln_tourism_inbound_perc + ln_tourism_outbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_promed_mentions_per_capita + ln_gdp_per_capita + offset(ln_population)
## zi ~ ln_promed_mentions_per_capita + ln_gdp_per_capita + ln_population + english_spoken
## Data: data[[i]] (Number of observations: 198)
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup samples = 120000
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI
## Intercept -15.59 1.29 -18.35
## zi_Intercept 30.28 5.11 21.02
## ln_livestock_consumption_kg_per_capita -0.40 0.14 -0.59
## ln_migrant_pop_perc 0.26 0.07 0.12
## ln_tourism_inbound_perc 0.09 0.13 -0.12
## ln_tourism_outbound_perc 0.05 0.19 -0.30
## ab_export_perc 5.12 1.34 2.35
## health_expend_perc 0.04 0.02 -0.02
## human_consumption_ddd 0.10 0.02 0.06
## english_spoken -0.57 0.21 -0.96
## ln_promed_mentions_per_capita 0.25 0.12 0.03
## ln_gdp_per_capita -0.02 0.10 -0.23
## zi_ln_promed_mentions_per_capita 0.11 0.34 -0.54
## zi_ln_gdp_per_capita -1.34 0.24 -1.84
## zi_ln_population -1.04 0.23 -1.51
## zi_english_spoken -1.37 0.64 -2.70
## u-95% CI Eff.Sample Rhat
## Intercept -13.06 79 2.04
## zi_Intercept 41.01 1935 1.02
## ln_livestock_consumption_kg_per_capita -0.06 64 3.93
## ln_migrant_pop_perc 0.39 71 2.60
## ln_tourism_inbound_perc 0.44 65 3.66
## ln_tourism_outbound_perc 0.47 64 3.85
## ab_export_perc 7.46 91 1.72
## health_expend_perc 0.08 84 1.89
## human_consumption_ddd 0.13 77 2.15
## english_spoken -0.07 68 2.95
## ln_promed_mentions_per_capita 0.49 69 2.72
## ln_gdp_per_capita 0.18 74 2.31
## zi_ln_promed_mentions_per_capita 0.80 2852 1.01
## zi_ln_gdp_per_capita -0.91 7760 1.01
## zi_ln_population -0.61 1542 1.02
## zi_english_spoken -0.16 817 1.04
##
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample
## is a crude measure of effective sample size, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## [1] TRUE